Data Engineer II, ITA - Workforce Intelligence

Redefined Ltd; London; On-site; GBP 40,000 - 80,000; Full time

Job description

DESCRIPTION

Do you want a role with deep meaning and the ability to make a massive impact? Hiring top talent is not only critical to Amazon's success—it can literally change the world. It took a lot of great hires to deliver innovations like AWS, Prime, and Alexa, which make life better for millions of customers around the world every day. As part of the Intelligent Talent Acquisition (ITA) team, you'll have the opportunity to reinvent the hiring process and deliver unprecedented scale, sophistication, and accuracy that Amazon's Talent Acquisition operation needs.

ITA is an industry-leading people science and technology organization made up of scientists, engineers, analysts, product professionals and more. Our shared goal is to fairly and precisely connect the right people to the right jobs. Last year, we delivered over 6 million online candidate assessments, replacing the "game of chance" with a merit-based approach that gives candidates the chance to showcase their true skills. Each year we help Amazon deliver billions of packages around the world by making it possible to hire hundreds of thousands of associates in the right quantity, at the right location and at exactly the right time. You'll work on state-of-the-art research, advanced software tools, new AI systems, and machine learning algorithms to solve complex hiring challenges. Leveraging Amazon's in-house tech stack built on AWS, you'll have the autonomy and flexibility to bring innovative solutions to life. One day, we can bring these solutions to the rest of the world. Join ITA in using latest technologies to transform the hiring landscape and make a meaningful difference in people's lives. Together, we can solve the world's toughest hiring problems.

As a Data Engineer II, you should be an expert with data lake fundamentals around storage, compute, etc., familiar with multiple data processing stacks like Spark, and core data concepts (e.g. Data Modeling). You should have deep understanding of the architecture for enterprise level data lake/mesh solutions using NAWS stack or other cloud stacks. You should be an expert in the design, creation, management, and business use of large data-sets. The candidate is expected to be able to build efficient, flexible, extensible, and scalable ETL and reporting solutions. You should be enthusiastic about learning new technologies and be able to implement solutions using them to provide new functionality to the users or to scale the existing platform. Our ideal candidate thrives in a fast-paced environment, relishes working with large transactional volumes and big data, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all, is passionate about data and analytics.

Key job responsibilities

1. Architect, develop and maintain end to end scalable data infrastructure and data pipelines
2. Ensure security and privacy of data products
3. Work closely with various stakeholders (business owners, Business Intelligence Engineers and Data Scientists) to explore new data sources, understand their needs, design the best possible solution and deliver it.
4. Empower the team for self-servicing by providing the necessary skills to handle complex tasks independently.
5. Ensure that the team can efficiently manage and troubleshoot data-related issues, leading to increased autonomy and productivity, along with fostering a culture of self-reliance.

About the team

ITA-Data team delivers high-quality recruiting data, reusable tools, and analytics reporting to Amazon Talent Acquisition customers. The Data team is the engine behind ITA's success, creating pathways to information upon which all of the organization's products are built and enabling Amazon to make correct hiring decisions a million times over. Focused on building scalable long term solutions, the team empowers engineers and consumers to develop, access, and analyze data independently with a high degree of data privacy and integrity. As a member of the Data team, you will deliver robust data solutions that drive fair and efficient hiring and rapidly evolve with the needs of the business.

BASIC QUALIFICATIONS

1. Experience as a Data Engineer or in a similar role
2. Experience with data modeling, warehousing and building ETL pipelines
3. Experience with SQL
4. Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
5. Experience with distributed systems as it pertains to data storage and computing
6. Experience with Redshift, Oracle, NoSQL etc.
7. Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
8. Bachelor's degree

PREFERRED QUALIFICATIONS

1. Experience working on and delivering end to end projects independently
2. Experience providing technical leadership and mentoring other engineers for best practices on data engineering